Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
migrated
chalk
style
blackboard
styles
chalk art
Instructions to use Norod78/chalk-board-drawing-flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Norod78/chalk-board-drawing-flux with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Norod78/chalk-board-drawing-flux") prompt = "The Starry Night ChalkBoardDrawing" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Chalk Board Drawing [FLUX]

- Prompt
- The Starry Night ChalkBoardDrawing

- Prompt
- A colorful ChalkBoardDrawing of a rainbow Unicorn
(CivitAI)
Model description
Was trying to aim for Chalk on Blackboard style
Use 'ChalkBoardDrawing' in your prompts
A LoRA weight of ~1.5 seems to be good
Trigger words
You should use ChalkBoardDrawing to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 𧨠diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('Norod78/chalk-board-drawing-flux', weight_name='Chalk_Board_Drawing_FLUX.safetensors')
image = pipeline('`ChalkBoardDrawing`').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for Norod78/chalk-board-drawing-flux
Base model
black-forest-labs/FLUX.1-dev